Solving Larger Optimization Problems Using Parallel Quantum Annealing.
Elijah PelofskeGeorg HahnHristo N. DjidjevPublished in: CoRR (2022)
Keyphrases
- optimization problems
- combinatorial optimization
- evolutionary algorithm
- simulated annealing
- nonlinear programming
- metaheuristic
- continuous optimization problems
- constrained problems
- convex optimization problems
- cost function
- parallel processing
- optimization methods
- quantum computing
- distributed memory
- solving problems
- objective function
- quantum evolutionary algorithm
- distributed memory machines
- discrete optimization problems
- massively parallel
- nonlinear equations
- database
- case study
- neural network